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Khamisi Kibet

Khamisi Kibet

Software Developer

I am a computer scientist, software developer, and YouTuber, as well as the developer of this website, spinncode.com. I create content to help others learn and grow in the field of software development.

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    infor@spinncode.com
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7 Months ago | 59 views

**Course Title:** Modern C++ Programming: Mastering C++ with Best Practices and Advanced Techniques **Section Title:** Data Structures and Algorithms in C++ **Topic:** Solve real-world problems using STL containers and algorithms. (Lab topic) ## Introduction In this lab, you will apply your knowledge of STL containers and algorithms to solve real-world problems. You will learn how to use these data structures and algorithms to efficiently solve complex problems, making you a more productive and effective programmer. ### Objectives * Understand how to apply STL containers and algorithms to real-world problems * Learn how to analyze problems and identify the most suitable STL containers and algorithms to use * Gain practical experience in using STL containers and algorithms to solve complex problems ### Problem 1: Student Database Suppose you are a teacher and you want to manage a database of your students. You want to store their names, ages, and grades. You also want to be able to search for students by name or age, and sort them by grade. **Task:** Use an `std::map` to store the student database, where the key is the student's name and the value is a `std::tuple` containing the student's age and grade. Implement functions to: * Add a new student to the database * Search for a student by name or age * Sort the students by grade **Example Code:** ```cpp #include <map> #include <tuple> #include <algorithm> std::map<std::string, std::tuple<int, double>> studentDatabase; void addStudent(const std::string& name, int age, double grade) { studentDatabase[name] = std::make_tuple(age, grade); } void searchStudentByName(const std::string& name) { auto it = studentDatabase.find(name); if (it != studentDatabase.end()) { std::cout << "Student found: " << name << ", Age: " << std::get<0>(it->second) << ", Grade: " << std::get<1>(it->second) << std::endl; } else { std::cout << "Student not found: " << name << std::endl; } } void searchStudentByAge(int age) { for (const auto& student : studentDatabase) { if (std::get<0>(student.second) == age) { std::cout << "Student found: " << student.first << ", Age: " << age << ", Grade: " << std::get<1>(student.second) << std::endl; } } } void sortStudentsByGrade() { std::vector<std::pair<std::string, std::tuple<int, double>>> vec(studentDatabase.begin(), studentDatabase.end()); std::sort(vec.begin(), vec.end(), [](const auto& a, const auto& b) { return std::get<1>(a.second) > std::get<1>(b.second); }); for (const auto& student : vec) { std::cout << "Student: " << student.first << ", Age: " << std::get<0>(student.second) << ", Grade: " << std::get<1>(student.second) << std::endl; } } int main() { addStudent("John", 20, 85.0); addStudent("Jane", 21, 90.0); addStudent("Bob", 20, 80.0); searchStudentByName("John"); searchStudentByAge(20); sortStudentsByGrade(); return 0; } ``` ### Problem 2: Shopping Cart Suppose you are building an e-commerce website and you want to implement a shopping cart feature. You want to store the items in the cart, along with their prices and quantities. **Task:** Use an `std::vector` to store the items in the cart, where each item is a `std::tuple` containing the item's name, price, and quantity. Implement functions to: * Add an item to the cart * Remove an item from the cart * Calculate the total cost of the items in the cart **Example Code:** ```cpp #include <vector> #include <tuple> std::vector<std::tuple<std::string, double, int>> cart; void addItemToCart(const std::string& itemName, double price, int quantity) { cart.emplace_back(itemName, price, quantity); } void removeItemFromCart(const std::string& itemName) { cart.erase(std::remove_if(cart.begin(), cart.end(), [&](const auto& item) { return std::get<0>(item) == itemName; }), cart.end()); } double calculateTotalCost() { double totalCost = 0.0; for (const auto& item : cart) { totalCost += std::get<1>(item) * std::get<2>(item); } return totalCost; } int main() { addItemToCart("Apple", 1.99, 2); addItemToCart("Banana", 0.99, 3); addItemToCart("Orange", 2.49, 1); std::cout << "Total cost: " << calculateTotalCost() << std::endl; removeItemFromCart("Apple"); std::cout << "Total cost after removing Apple: " << calculateTotalCost() << std::endl; return 0; } ``` ### Conclusion In this lab, you have applied your knowledge of STL containers and algorithms to solve real-world problems. You have learned how to use these data structures and algorithms to efficiently solve complex problems, making you a more productive and effective programmer. **Key Takeaways:** * Use STL containers and algorithms to solve real-world problems * Analyze problems and identify the most suitable STL containers and algorithms to use * Use `std::map` to store data with key-value pairs * Use `std::vector` to store data with variable size * Use `std::tuple` to store data with multiple values **External Resources:** * [C++ Standard Library](https://en.cppreference.com/w/) * [STL Containers and Algorithms](https://www.geeksforgeeks.org/stl-containers-and-algorithms-in-cpp/) **Leave a Comment/Ask for Help:** If you have any questions or need help with any of the problems, please leave a comment below.
Course
C++
OOP
Templates
Multithreading
C++20

Applying STL Containers and Algorithms to Real-World Problems.

**Course Title:** Modern C++ Programming: Mastering C++ with Best Practices and Advanced Techniques **Section Title:** Data Structures and Algorithms in C++ **Topic:** Solve real-world problems using STL containers and algorithms. (Lab topic) ## Introduction In this lab, you will apply your knowledge of STL containers and algorithms to solve real-world problems. You will learn how to use these data structures and algorithms to efficiently solve complex problems, making you a more productive and effective programmer. ### Objectives * Understand how to apply STL containers and algorithms to real-world problems * Learn how to analyze problems and identify the most suitable STL containers and algorithms to use * Gain practical experience in using STL containers and algorithms to solve complex problems ### Problem 1: Student Database Suppose you are a teacher and you want to manage a database of your students. You want to store their names, ages, and grades. You also want to be able to search for students by name or age, and sort them by grade. **Task:** Use an `std::map` to store the student database, where the key is the student's name and the value is a `std::tuple` containing the student's age and grade. Implement functions to: * Add a new student to the database * Search for a student by name or age * Sort the students by grade **Example Code:** ```cpp #include <map> #include <tuple> #include <algorithm> std::map<std::string, std::tuple<int, double>> studentDatabase; void addStudent(const std::string& name, int age, double grade) { studentDatabase[name] = std::make_tuple(age, grade); } void searchStudentByName(const std::string& name) { auto it = studentDatabase.find(name); if (it != studentDatabase.end()) { std::cout << "Student found: " << name << ", Age: " << std::get<0>(it->second) << ", Grade: " << std::get<1>(it->second) << std::endl; } else { std::cout << "Student not found: " << name << std::endl; } } void searchStudentByAge(int age) { for (const auto& student : studentDatabase) { if (std::get<0>(student.second) == age) { std::cout << "Student found: " << student.first << ", Age: " << age << ", Grade: " << std::get<1>(student.second) << std::endl; } } } void sortStudentsByGrade() { std::vector<std::pair<std::string, std::tuple<int, double>>> vec(studentDatabase.begin(), studentDatabase.end()); std::sort(vec.begin(), vec.end(), [](const auto& a, const auto& b) { return std::get<1>(a.second) > std::get<1>(b.second); }); for (const auto& student : vec) { std::cout << "Student: " << student.first << ", Age: " << std::get<0>(student.second) << ", Grade: " << std::get<1>(student.second) << std::endl; } } int main() { addStudent("John", 20, 85.0); addStudent("Jane", 21, 90.0); addStudent("Bob", 20, 80.0); searchStudentByName("John"); searchStudentByAge(20); sortStudentsByGrade(); return 0; } ``` ### Problem 2: Shopping Cart Suppose you are building an e-commerce website and you want to implement a shopping cart feature. You want to store the items in the cart, along with their prices and quantities. **Task:** Use an `std::vector` to store the items in the cart, where each item is a `std::tuple` containing the item's name, price, and quantity. Implement functions to: * Add an item to the cart * Remove an item from the cart * Calculate the total cost of the items in the cart **Example Code:** ```cpp #include <vector> #include <tuple> std::vector<std::tuple<std::string, double, int>> cart; void addItemToCart(const std::string& itemName, double price, int quantity) { cart.emplace_back(itemName, price, quantity); } void removeItemFromCart(const std::string& itemName) { cart.erase(std::remove_if(cart.begin(), cart.end(), [&](const auto& item) { return std::get<0>(item) == itemName; }), cart.end()); } double calculateTotalCost() { double totalCost = 0.0; for (const auto& item : cart) { totalCost += std::get<1>(item) * std::get<2>(item); } return totalCost; } int main() { addItemToCart("Apple", 1.99, 2); addItemToCart("Banana", 0.99, 3); addItemToCart("Orange", 2.49, 1); std::cout << "Total cost: " << calculateTotalCost() << std::endl; removeItemFromCart("Apple"); std::cout << "Total cost after removing Apple: " << calculateTotalCost() << std::endl; return 0; } ``` ### Conclusion In this lab, you have applied your knowledge of STL containers and algorithms to solve real-world problems. You have learned how to use these data structures and algorithms to efficiently solve complex problems, making you a more productive and effective programmer. **Key Takeaways:** * Use STL containers and algorithms to solve real-world problems * Analyze problems and identify the most suitable STL containers and algorithms to use * Use `std::map` to store data with key-value pairs * Use `std::vector` to store data with variable size * Use `std::tuple` to store data with multiple values **External Resources:** * [C++ Standard Library](https://en.cppreference.com/w/) * [STL Containers and Algorithms](https://www.geeksforgeeks.org/stl-containers-and-algorithms-in-cpp/) **Leave a Comment/Ask for Help:** If you have any questions or need help with any of the problems, please leave a comment below.

Images

Modern C++ Programming: Mastering C++ with Best Practices and Advanced Techniques

Course

Objectives

  • Understand and master core C++ concepts along with the latest C++20/23 features.
  • Write efficient, maintainable, and scalable C++ code using best practices.
  • Learn advanced object-oriented programming (OOP), templates, and metaprogramming in C++.
  • Gain hands-on experience with multithreading, memory management, and performance optimization.
  • Work with popular C++ libraries and understand modern tooling for debugging, testing, and version control.

Introduction to C++ and Environment Setup

  • Overview of C++: History, evolution, and use cases.
  • Setting up a development environment (IDE: Visual Studio, CLion, or VSCode).
  • Compiling, linking, and running C++ programs.
  • Basic syntax: Variables, data types, operators, and control structures.
  • Lab: Install and set up a C++ IDE, write and compile your first C++ program.

Data Structures and Algorithms in C++

  • Built-in data types and structures (arrays, strings, pointers).
  • STL containers: `std::vector`, `std::array`, `std::list`, and `std::map`.
  • STL algorithms: Sorting, searching, and manipulating containers.
  • Introduction to C++20 ranges and views for modern iteration.
  • Lab: Solve real-world problems using STL containers and algorithms.

Functions and Modular Programming

  • Defining and calling functions: Return types, parameters, and overloading.
  • Pass-by-value vs pass-by-reference, and `const` correctness.
  • Lambda expressions in modern C++.
  • Understanding inline functions and the `constexpr` keyword.
  • Lab: Write modular code using functions, with an emphasis on lambda expressions and constexpr.

Object-Oriented Programming (OOP) in C++

  • Understanding classes and objects in C++.
  • Constructors, destructors, and copy constructors.
  • Inheritance, polymorphism, virtual functions, and abstract classes.
  • The Rule of Three/Five/Zero and smart pointers (`std::unique_ptr`, `std::shared_ptr`).
  • Lab: Design a class-based system implementing inheritance and smart pointers.

Templates and Generic Programming

  • Understanding templates: Function and class templates.
  • Template specialization and overloading.
  • Variadic templates and fold expressions in C++17/20.
  • Concepts in C++20: Constraining templates with concepts.
  • Lab: Implement a generic data structure using templates and C++20 concepts.

Memory Management and Resource Management

  • Understanding dynamic memory allocation (`new`, `delete`, `malloc`, `free`).
  • RAII (Resource Acquisition Is Initialization) and smart pointers for resource management.
  • Memory leaks, dangling pointers, and best practices for avoiding them.
  • Modern memory management techniques using `std::unique_ptr`, `std::shared_ptr`, and `std::weak_ptr`.
  • Lab: Write a C++ program managing dynamic memory efficiently using RAII and smart pointers.

Multithreading and Concurrency

  • Introduction to multithreading in C++ with the `<thread>` library.
  • Synchronization primitives: Mutexes, condition variables, and locks.
  • Understanding deadlocks, race conditions, and strategies to avoid them.
  • Futures, promises, and asynchronous programming in C++17/20.
  • Lab: Implement a multithreaded program using mutexes and condition variables, and solve concurrency issues.

File I/O and Serialization

  • File input/output in C++: Working with file streams (`std::ifstream`, `std::ofstream`).
  • Reading and writing binary data to files.
  • Text and binary serialization techniques.
  • Using third-party libraries for serialization (e.g., Boost.Serialization).
  • Lab: Write a C++ program that reads from and writes to files, using both text and binary formats.

Error Handling and Exceptions

  • Introduction to exception handling: `try`, `catch`, `throw`.
  • Best practices for writing exception-safe code.
  • Modern alternatives: `std::optional`, `std::variant`, and `std::expected` in C++17/20.
  • Handling resources in exception handling: RAII revisited.
  • Lab: Develop a C++ program that gracefully handles errors and exceptions.

Testing, Debugging, and Profiling

  • Unit testing in C++: Introduction to testing frameworks (Google Test, Catch2).
  • Mocking and test-driven development (TDD).
  • Debugging tools: GDB, Valgrind, and sanitizers (address, thread, and memory).
  • Performance profiling using `gprof` and modern tools (perf, VTune).
  • Lab: Write unit tests for your C++ code and use a debugging tool to track down and fix a memory issue.

Advanced C++ Features: C++20 and Beyond

  • Introduction to C++20 features: Modules, coroutines, and concepts.
  • Coroutines in modern C++: Asynchronous programming and generators.
  • Using C++20 ranges for cleaner, more expressive code.
  • Modules in C++20: Breaking the limits of traditional header files.
  • Lab: Refactor existing code to utilize C++20 features like coroutines and ranges.

C++ Libraries and Real-World Applications

  • Overview of popular C++ libraries: Boost, Qt, and others.
  • Building and integrating third-party libraries into your project.
  • Cross-platform development with CMake and other build systems.
  • Modern deployment techniques: Docker, cloud platforms, and CI/CD pipelines.
  • Lab: Build a small C++ project using CMake and deploy it using Docker.

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